In most of states of America, foreign people can use the driver’s license that issued by their own country to apply an American driver’s license. For example, in California, there have more than half million of Chinese, a lot of new immigrants bring their Chinese driver’s licenses to the department of motor vehicle (DMV) to get new licenses. Normally, the DMV staff only validate the foreign license’s expiration date and then make a copy of that before issuing the new license. This process let new comers feel very convenient, but there has some loophole in the licenses’ management. The staff is unable to verify the license is real or not, and they cannot check the applicant’s driving records. These are the issues that need to be improved.
Yunmai Driver’s License OCR SDK can help DMV to fixed the problem, the OCR engine is provided for developer to integrate into a management system, and create a feature of smartly reading Chinese driver’s license. The recognition SDK is able to extract the license information by capturing instead of manually typing, as you know, few DMV staff can type Chinese. This technology would make the DMV fast obtain the digital information of foreign driver’s licenses, so that they are able to request some required information from the related issuing department.
Yunmai Driver’s License OCR SDK is developed by Yunmai Technology Company, the OCR engine is tailored for recognizing Chinese driver’s license. The recognition accuracy rate reach 99%, and the engine processing time is about1 second. If the developers want to apply this technology into the management system of DMV to recognize Chinese licenses, Yunmai Driver’s License OCR engine is good choice, it will save much time for them on developing.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Document OCR SDK
Business card recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
Contact information
Tel: +86 592 6301858
Email: sales@yunmai.com
Website: http://ocrsdks.com/
2015年10月26日星期一
2015年7月8日星期三
Yunmai Document OCR SDK
Yunmai Document OCR SDK provides Optical Character Recognition technology for developers. By integrating our recognition SDK, your software is able to extract text from images, and create editable documents. This feature is generally used to manage a large amount of paper documents. The SDK can be integrated into mobile application or PC software.
What the OCR SDK can do
- Extract text from image: Identify the characters on the image and retrieve the text.
- Automatically crop image: Automatically detect document position and trim edges before running the text identification.
- Character suggestion: After the Optical Character Recognition is completed, the engine is able to automatically detect potential errors on the recognition results, and provide characters suggestion and words suggestions. For English, the engine will give both characters and words; for Chinese, Chinese characters will be provided.
- Export to PDF: Export to double-layer PDF file to allow user to search content within the file by typing keyword.
- Auto categorization of images: After scanning images, the engine is able to automatically detect picture type and categorize the images before running OCR. The possible categories are: Business card, ID card, passport, license, text document, landscape, etc.
- Blur detection: Before the text recognition, the engine will analyze the image quality and define whether the picture is blurry or not.
- Image format supported: jpg, png, bmp. The engine is supports manually adjustmentsing of the image effects, such as brightness, contrast, color mode, etc.
- Support multiple languages: Simplified Chinese, Traditional Chinese, English, German, French, Italian, Spanish, Portuguese, Swedish, Danish, Norwegian, Finnish, and Dutch.
How the text extractor works
Step 1: Capture paper document or import existing image;
Step 2: Crop image, and enhance image effects;
Step 3: Process OCR to extract text from the image;
Step 4: Use character suggestion to correct errors or manually edit the results.
Character recognition results
The following are the average recognition accuracy for different
languages:
English characters: 97%
European characters: 99%
Chinese characters: 92%
These data are obtained on recognizing an 8 pixel megabytes image of a document with 800 characters, and the font size is 12.
Character recognition speed
The recognition speed is based on hardware and the document
captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Business card recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
Demo Apps with our Document OCR SDK
Docs Matter – Document Reader (Android) :
Contact information
Tel: +86 592 6301858
Email: sales@yunmai.com
Website: http://en.yunmai.com/
What the OCR SDK can do
- Extract text from image: Identify the characters on the image and retrieve the text.
- Automatically crop image: Automatically detect document position and trim edges before running the text identification.
- Character suggestion: After the Optical Character Recognition is completed, the engine is able to automatically detect potential errors on the recognition results, and provide characters suggestion and words suggestions. For English, the engine will give both characters and words; for Chinese, Chinese characters will be provided.
- Export to PDF: Export to double-layer PDF file to allow user to search content within the file by typing keyword.
- Auto categorization of images: After scanning images, the engine is able to automatically detect picture type and categorize the images before running OCR. The possible categories are: Business card, ID card, passport, license, text document, landscape, etc.
- Blur detection: Before the text recognition, the engine will analyze the image quality and define whether the picture is blurry or not.
- Image format supported: jpg, png, bmp. The engine is supports manually adjustmentsing of the image effects, such as brightness, contrast, color mode, etc.
- Support multiple languages: Simplified Chinese, Traditional Chinese, English, German, French, Italian, Spanish, Portuguese, Swedish, Danish, Norwegian, Finnish, and Dutch.
How the text extractor works
Step 1: Capture paper document or import existing image;
Step 2: Crop image, and enhance image effects;
Step 3: Process OCR to extract text from the image;
Step 4: Use character suggestion to correct errors or manually edit the results.
Character recognition results
The following are the average recognition accuracy for different
languages:
English characters: 97%
European characters: 99%
Chinese characters: 92%
These data are obtained on recognizing an 8 pixel megabytes image of a document with 800 characters, and the font size is 12.
Character recognition speed
The recognition speed is based on hardware and the document
captured, the following is an example:
Hardware: 1.7GHz CPU / 1GB RAM smart phone or higher
Capturing object: a paper document with about 800 characters
Recognition speed: OCR process will take about 7 seconds.
Programming language supported
The SDK is available for different programming languages: Java, C++, C, Object Pascal, Objective-C.
Other recognition SDKs we developed
Business card recognition SDK
Bank card recognition SDK
Chinese citizen ID card recognition SDK
Demo Apps with our Document OCR SDK
Docs Matter – Document Reader (Android) :
Contact information
Tel: +86 592 6301858
Email: sales@yunmai.com
Website: http://en.yunmai.com/
2015年7月5日星期日
How to use Yunmai OCR SDK?
You have an idea of an application that can read paper document or road sign, or any text on a picture taken from your mobile phone?
Several Optical Character Recognition (OCR) Software Development Kit (SDK) exist that can help you achieve the feature you wish.
So why to choose Yunmai OCR SDK?
Since 2002, our main goal has been to provide Text Scanner and Text Reader in a compact form for mobile devices. Our expertise allow us to provide customizable SDK on the form of package of less than 6 MB footprint, without any Cloud recognition involved. Everything is done locally.
Our SDKs are available for Android and iOS, and consist of Document Recognition, Business Card Recognition, Banking Card Recognition and Chinese ID Recognition.
Concerning the Document OCR SDK we achieve more than 95% accuracy on an 800 characters’ document taken at 300dpi with an 8MP camera for English and Chinese text.
Pricing
Not willing to pay 10 thousands of dollars to bring the technology to your application? Our SDKs are available for less than that. Contact one of our sale representative
Mobile OCR SDK key features:
-High accuracy: more than 95%
-High speed: less than 6sec for a A4 document with around 800 Chinese characters
-Compact: ~5MB
You can find our demonstration application on Google Play or Apple App Store. Give it a try and evaluate the performance of our engine.
-SmartEye – LiveTextTranslator (Android)
-SmartEye – LiveTextTranslator (iOS)
For more information on how to integrate our OCR SDKs into your applications, you can visit our official website (http://en.yunmai.com) or contact one of our sale representative (phone: +86-592-6301858, email: sales@yunmai.com).
You might be interested in the other OCR SDKs we develop:
-Business Card Recognition SDK
-Banking Card Recognition SDK
To further ease the integration and presentation of the image and text result we also have different technologies available:
-Auto cropping: Auto detection of document position within a picture to facilitate the auto cropping of the document
-Image Processing Enhancement: filters on the image to increase contrast, convert to grey scale or black & white images
-Character and words suggestions: suggest potential characters on some text recognized with lower accuracy
-Export libraries: export documents to searchable PDF files, export to word
Several Optical Character Recognition (OCR) Software Development Kit (SDK) exist that can help you achieve the feature you wish.
So why to choose Yunmai OCR SDK?
Since 2002, our main goal has been to provide Text Scanner and Text Reader in a compact form for mobile devices. Our expertise allow us to provide customizable SDK on the form of package of less than 6 MB footprint, without any Cloud recognition involved. Everything is done locally.
Our SDKs are available for Android and iOS, and consist of Document Recognition, Business Card Recognition, Banking Card Recognition and Chinese ID Recognition.
Concerning the Document OCR SDK we achieve more than 95% accuracy on an 800 characters’ document taken at 300dpi with an 8MP camera for English and Chinese text.
Pricing
Not willing to pay 10 thousands of dollars to bring the technology to your application? Our SDKs are available for less than that. Contact one of our sale representative
Mobile OCR SDK key features:
-High accuracy: more than 95%
-High speed: less than 6sec for a A4 document with around 800 Chinese characters
-Compact: ~5MB
You can find our demonstration application on Google Play or Apple App Store. Give it a try and evaluate the performance of our engine.
-SmartEye – LiveTextTranslator (Android)
-SmartEye – LiveTextTranslator (iOS)
For more information on how to integrate our OCR SDKs into your applications, you can visit our official website (http://en.yunmai.com) or contact one of our sale representative (phone: +86-592-6301858, email: sales@yunmai.com).
You might be interested in the other OCR SDKs we develop:
-Business Card Recognition SDK
-Banking Card Recognition SDK
To further ease the integration and presentation of the image and text result we also have different technologies available:
-Auto cropping: Auto detection of document position within a picture to facilitate the auto cropping of the document
-Image Processing Enhancement: filters on the image to increase contrast, convert to grey scale or black & white images
-Character and words suggestions: suggest potential characters on some text recognized with lower accuracy
-Export libraries: export documents to searchable PDF files, export to word
订阅：
博文 (Atom)